Machine Learning Models for Intelligent Software Engineering and Automation

Book Title: Machine Learning Models for Intelligent Software Engineering and AutomationPublisher: AMEISBN: 978-81-996310-5-2Author:Dr. Uday Chandrakant Patkar is currently serving as an Associate Professor and Head of the Department of Computer Engineering at Bharati Vidyapeeth’s College of Engineering, Lavale, Pune. With more than 23 years of academic and research experience, he has made significant contributions to the field of Computer Engineering. Dr. Patkar has published over 93 research papers in reputed international journals and conferences and holds 25 patents, many of which have been granted. Under his expert guidance, several research scholars are pursuing Ph.D. programs at recognized universities. His core areas of interest include Artificial Intelligence, Machine Learning, and emerging technologies, and he is deeply committed to promoting innovation, research excellence, and academic growth among students and researchers.About the Book:This book presents a comprehensive and forward-looking exploration of machine learning models applied to intelligent software engineering and automation. Beginning with the fundamentals of intelligent software engineering and machine learning, it systematically guides readers through data engineering, code intelligence, deep learning, and transformer-based models for software development. The book emphasizes practical relevance by demonstrating how machine learning enhances program understanding, software quality, and development efficiency.The later chapters focus on advanced applications such as intelligent DevOps, reinforcement learning–based software process automation, and MLOps frameworks for scalable and automated software engineering systems. The book also highlights emerging trends and open research challenges shaping the future of intelligent software systems. Designed for students, researchers, and industry professionals, this book serves as a valuable reference for mastering machine learning–driven automation in modern software engineering environments. Read more